This is an automated archive made by the Lemmit Bot.

The original was posted on /r/cfb by /u/why_doineedausername on 2023-12-17 17:29:32.


REGULAR SEASON FINAL SICKO+ metric, designed to rate teams based on how much of a sicko you would have to be to watch them!

Final Regular Season Visual

Week 13 Visual

Week 12 Visual

Week 11 Visual

Week 10 Visual

Week 9 Visual

Rank Team SICKO+
1 Oklahoma State 0.838
2 Iowa 0.723
3 Air Force 0.723
4 Virginia 0.716
5 Nebraska 0.713
6 Fresno State 0.705
7 Army 0.701
8 Northwestern 0.690
9 Akron 0.688
10 UCF 0.677
11 Arkansas 0.675
12 East Carolina 0.674
13 San José State 0.666
14 Cincinnati 0.665
15 Navy 0.663
16 Arkansas State 0.660
17 Arizona State 0.650
18 Washington 0.649
19 Northern Illinois 0.649
20 Ball State 0.649
21 South Alabama 0.646
22 Miami 0.645
23 Hawai’i 0.637
24 Florida State 0.637
25 Auburn 0.633
26 Tulsa 0.626
27 Miami (OH) 0.624
28 Baylor 0.621
29 Wyoming 0.619
30 UAB 0.619

As a reminder, the six factors that go into this metric, listed in order of importance. (Unless otherwise noted, more is better).

  1. % of Points NOT Scored Via Off TD
  2. Inconsistency
  3. Luck (Lucky and Unlucky, More Deviation is Better)
  4. Excitement Index
  5. Total TO Rate (Off + Def)
  6. Preseason Expectations (Lower is Better)

Vanilla 3 (Bottom of the rankings)

  1. Toledo
  2. Oregon
  3. UTSA

Please note: I made a calculation error in the week 13 polls which was corrected this week, so the teams appear to have moved more than they necessarily should have.

Additionally, after each monthly Sicko poll is released, I slightly reweight the factors to better reflect how people actually vote and incorporate that into a long-term running average. This ranking is computer only and does not consider any sort of recent news or events off the football field that may impact people’s perception of sicko teams, and as a result I believe it does a pretty damn good job at ranking sicko teams based only on their play. Next year I may incorporate some sort of bias factor that can help identify teams which are regularly over or under-rated by teams (in terms of sicko-ness), which could help build in a degree of “lore” into the rankings.